Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Linköping University
- SciLifeLab
- Lulea University of Technology
- Luleå tekniska universitet
- Lunds universitet
- Blekinge Institute of Technology
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linnaeus University
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- University of Lund
- Uppsala universitet
- 4 more »
- « less
-
Field
-
7 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Control engineering Engineering » Electrical engineering Engineering » Systems
-
Computer science » Other Engineering » Control engineering Engineering » Systems engineering Engineering » Other Mathematics » Applied mathematics Medical sciences » Other Researcher Profile Recognised Researcher
-
21 Aug 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Physics and Astronomy Research Field Computer science Engineering Physics Technology
-
at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible
-
14 Jul 2026 Job Information Organisation/Company The Swedish University of Agricultural Sciences (SLU) Research Field Biological sciences Researcher Profile Established Researcher (R3) Application
-
ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work
-
to applicants can be found at https://www.bth.se/english/about-bth/work-at-bth/vacancies. It is the responsibility of the applicant to ensure that the application is complete in accordance with the advertisement
-
). The division is part of the Department of Engineering Science and Mathematics. The department has several other research topics with activities that border on material technology, such as materials mechanics and
-
. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
-
tissue formation, and limited spatial precision. Building on our recent advances in enzyme-triggered electrode fabrication in living systems (Strakosas et al., Science, 2023, https://doi.org/10.1126